The Washington Post reports that seven US states have seen their highest hospitalisations of coronavirus patients so far in the pandemic.
The states are Arizona, Arkansas, California, North Carolina, South Carolina, Tennessee and Texas.
According to the Washington Post:
Texas and California on Tuesday eclipsed 5,000 new cases of the novel coronavirus over a 24-hour span, records in those states. Arizona, Nevada and Missouri also logged new single-day highs. Overall, 33 states and US territories now have a rolling average of new cases that is higher than last week.
Originally posted by Old Man Whirly!
The Washington Post reports that seven US states have seen their highest hospitalisations of coronavirus patients so far in the pandemic.The states are Arizona, Arkansas, California, North Carolina, South Carolina, Tennessee and Texas.
According to the Washington Post:
Texas and California on Tuesday eclipsed 5,000 new cases of the novel coronavirus over a 24-hour span, records in those states. Arizona, Nevada and Missouri also logged new single-day highs. Overall, 33 states and US territories now have a rolling average of new cases that is higher than last week.
And?
Four maps and charts that disprove Trump’s claims US is leading world on Covid-19 testing
Originally posted by Old Man Whirly!
https://www.independent.co.uk/news/world/americas/coronavirus-tests-us-trump-data-testing-near-me-a9580816.htmlFour maps and charts that disprove Trump’s claims US is leading world on Covid-19 testing
Originally posted by jaden_2.0
It's amusing that total tests are legitimate but tests per head of population aren't and total deaths aren't but deaths per head of population are and vice versa dependant on the political viewpoint being pushed.
Yeah, I'm wondering why this stat isn't paid attention to:
And when it comes to testing, it's testing the populations that matters. You can test the same 60,000 people in Cheyenne Wyoming all you want but that's a useless stat.
https://www.statnews.com/2020/05/15/covid-19-testing-for-all-isnt-right-strategy-moving-ahead/
Frequent and plentiful testing might help identify hidden carriers but that type of testing is obviously logistically unfeasible. Instead, the testing should be on the correct members of the population with a heavy-hand in contact tracing.
Frequent testing of the entire population would help identify so-called hidden hidden carriers — individuals infected with SARS-CoV-2, the virus that causes Covid-19, but who have no symptoms of it. They seem to play an important role in the spread of Covid-19. Identifying these silent spreaders could help public health workers be more effective at contract tracing by identifying others who have been exposed and may require quarantine.But this argument isn’t as strong as it might seem. Asymptomatic spread is contact tracing’s Achilles’ heel. Even if testing the entire population was able to identify silent carriers, there would be a delay in putting this information to use because testing wouldn’t occur continuously and there would be a lag in test results. This is particularly true since SARS-CoV-2 readily spreads during a short interval of a few days, typically in the early stages of infection. Even with testing every two weeks and a 24-hour lag in results, universal testing would catch less than half of asymptomatic carriers during their most infectious period.
According to a model developed by Imperial College London and the World Health Organization, based on these optimistic assumptions the impact of universal Covid-19 testing would reduce the number of Covid-19 cases by less than 10%. More conservative (and realistic) parameters would suggest a smaller impact.
There are also the harms of Covid-19 testing to consider.
Perhaps the biggest challenge is false negatives — tests signaling no infection in those who are indeed infected. Covid-19 testing is typically performed on samples from behind the nose or in the back of the mouth, and will be positive only if the sample happens to contain the virus. In some people, the virus may be present in high quantities only deep in the lungs. False negatives occur surprisingly often — perhaps as often as one-third of the time — which could lead to a false sense of security among those with such results.
Testing those without symptoms can also lead to false alarms. PCR testing for the virus, which is the best way to identify an active infection, can detect the presence of SARS-CoV-2 — or remnants of it — for weeks, even when the infection is unlikely to be transmitted to others. Testing the entire population would undoubtedly identify a large number of such individuals, unnecessarily sidelining them from work and society.
The point is people pick the stat based on the political point they're trying to make. If the total deaths are low but your country's population is low, giving a high deaths per million number and you want to portray your country's government as having handled the pandemic well then you use the total deaths. If you want to criticize that government because you support another party then you use the deaths per million to make them look bad.
Nobody actually cares that people are dead.
Originally posted by jaden_2.0👆 Bingo!
The point is people pick the stat based on the political point they're trying to make. If the total deaths are low but your country's population is low, giving a high deaths per million number and you want to portray your country's government as having handled the pandemic well then you use the total deaths. If you want to criticize that government because you support another party then you use the deaths per million to make them look bad.Nobody actually cares that people are dead.
Originally posted by jaden_2.0
The point is people pick the stat based on the political point they're trying to make. If the total deaths are low but your country's population is low, giving a high deaths per million number and you want to portray your country's government as having handled the pandemic well then you use the total deaths. If you want to criticize that government because you support another party then you use the deaths per million to make them look bad.Nobody actually cares that people are dead.
No, no, I agree with this. Which is why I go back to the deaths per million stat.
There's also the isolation component which makes places like New Zealand very easy to manage compared to places like the UK or the US.
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